Endorsement

Objectives

While a lot of basic infrastructure exists now for the Semantic Web (OWL, Editors, Inference-Engines), the lack of semantic metadata is still a major hurdle for the broad success of the Semantic Web. To overcome this obstacle, one needs methods that facilitate and accelerate the creation of metadata on a mass scale. Hence, this address the issue of upgrading the actual Web to the Semantic Web by means of (automated) semantic annotation strategies.

Another issue is the semantic indexing and searching of multimedia (and multilingual) data. It is difficult to process completely the content of multimedia data, even with technologies based on natural language processing, image processing, machine vision and speech recognition. Therefore, semantic annotation as a means of supplementing automatic multimedia processing is one of the promising methodologies to to describe content semantically.

Topics of Interest

Topics of interest include but are not limited to:

General description of semantic annotation

Tools/strategies for upgrading the current Web to the Semantic Web

A common semantic annotation strategy for upgrading the web to the Semantic Web (including multimedia content)

NLP tools/strategies for semantic annotation of the current Web

Multimedia tools/strategies for semantic annotation of the current Web

Maximum 2 pages, excluding title page and bibliography for short position papers

All submissions should be made electronically if possible, by email attachment and preferably in Postscript or PDF format. Only if electronic submission is impossible should you send three hard copies.

All submissions must be sent to the workshop contact, Siegfried Handschuh at sha at aifb.uni-karlsruhe.de.

Although not required for the initial submission, we recommend we recommend following the format guidelines of ISWC 2005 (Springer LNCS), as this will be the required format for accepted papers (cf. http://www.springer.de/comp/lncs/authors.html) We will publish the workshop proceedings online at CEUR-WS.